A neural filter for electrolocation in weakly electric fish

Miyoung Sim, Dae Eun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The weakly electric fish have the electric organ to generate the electric field and electrosensory mechanism to read the change of electric field with their electroreceptors. The electric organ produce a waveform of electric field as their electric organ discharge (EOD). Their active electrolocation system can detect the distortion of the self-generated electric field, which is caused by a target object, and estimate the position of a target object. In this paper, we suggest a hypothesis that the periodic EOD signals are involved to extract localization features from noisy electrosensory signals and then provide a possible neural network to process the noise-filtering to obtain the accurate information of a target position. The neural network has sinusoidal weights to process a time series of sensor readings for each electroreceptor.

Original languageEnglish
Title of host publicationESANN 2011 - 19th European Symposium on Artificial Neural Networks
PublisherESANN (i6doc.com)
Pages459-464
Number of pages6
ISBN (Electronic)9782874190445
Publication statusPublished - 2011
Event19th European Symposium on Artificial Neural Networks, ESANN 2011 - Bruges, Belgium
Duration: 2011 Apr 272011 Apr 29

Publication series

NameESANN 2011 - 19th European Symposium on Artificial Neural Networks

Conference

Conference19th European Symposium on Artificial Neural Networks, ESANN 2011
CountryBelgium
CityBruges
Period11/4/2711/4/29

Bibliographical note

Funding Information:
This work was supported by the Mid-career Researcher Program through an NRF grant funded by the MEST (No. 2010-0000460)

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

Fingerprint Dive into the research topics of 'A neural filter for electrolocation in weakly electric fish'. Together they form a unique fingerprint.

Cite this